v1.3.1 – Expanded Agent Creation Options

🚀 What’s New

You can now create agents using standard foundational models — no fine-tuning required.

Previously, Navigable AI supported only fine-tuned models (optionally enhanced with RAG grounding). With this release, teams can choose from three flexible training modes when creating an AI assistant:

Fine-Tuned Agents – deeply customized and trained for your product.
RAG Agents – retrieval-augmented for real-time, grounded responses.
Simple (Foundational) Agents – quick setup using base models with custom prompts.

This update gives you the freedom to start fast, scale intelligently, and fine-tune when ready, making it easier to match your AI’s complexity with your use case.

👉 Learn more about the available training modes here:
Training Overview Documentation

💰 Cost Estimator Tool

We’ve added a new Cost Estimator to help you plan your AI strategy effectively.
Quickly compare pricing across training modes — Fine-Tuned, RAG, and Foundational — to choose the right balance between performance and budget.
👉 Try the pricing estimator: https://www.navigable.ai/pricing/

💡 Why It Matters

Faster onboarding: Launch assistants in minutes without needing training data.
Cost-efficient experimentation: Test conversational flows and prompts before committing to fine-tuning.
Scalable architecture: Move seamlessly from foundational to fine-tuned or RAG-enhanced setups as your needs evolve.

🛠 Improvements & Fixes

Streamlined agent creation interface with clearer setup steps.
Improved backend support for hybrid (Fine-tuned + RAG) configurations.
Minor performance optimizations and bug fixes across the dashboard.

✨ Try It Out

Head to your Navigable AI dashboard and create your next assistant with a foundational model — it’s the fastest way to get started.

We’d love your feedback as we continue expanding how teams train and deploy AI on Navigable.